Stasiewicz, Arkadiusz, Rezk, Mohamed Adel, Ojo, Adegboyega, Tambouris, Efthimios, Kalampokis, Evangelos, Tarabanis, Konstantinos, Alcorn, Trevor and Leadbetter, Adam (2018) Using Linked Statistical Data to Improve Marine Search and Rescue Operations in Ireland. In: ICEGOV '18: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance. Association for Computing Machinery (ACM), pp. 412-418. ISBN 9781450354219
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Abstract
Producing new generation of digital public services from open
data is of major interest to policymakers, practitioners and
academia in the digital government community. Recent efforts in
the area of Linked Statistical Data suggest that the associated
multidimensional data cubes are excellent resources that could
underpin data-driven digital public services. We describe in this
paper a set of tools and approach to exploiting linked statistical
data produced from the integration of streams of open marine
datasets for developing digital services to support Marine Rescue
Operations. We also highlight the opportunities enabled through
co-creation activities as well as the benefit and challenges for
scaling and sustaining the initiative.
Item Type: | Book Section |
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Keywords: | Linked Statistical Data; Linked Open Data; Digital Public Service Open Data; Co-creation; E-Government; OpenGovIntelligence; |
Academic Unit: | Faculty of Social Sciences > School of Business |
Item ID: | 13370 |
Identification Number: | 10.1145/3209415.3209511 |
Depositing User: | Adegboyega Ojo |
Date Deposited: | 02 Oct 2020 15:05 |
Publisher: | Association for Computing Machinery (ACM) |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/13370 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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